Clarissa Read
Impact in
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
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- Cell Image Analysis Techniques
Papers in
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- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 2
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- Cytomegalovirus and herpesvirus research 8
- Herpesvirus Infections and Treatments 4
- Co-authors
- Paul Walther (12 shared papers)Jens von Einem (8 shared papers)Hans A. Kestler (3 shared papers)Martin Schauflinger (3 shared papers)Timo Ropinski (3 shared papers)Marcus Fändrich (2 shared papers)Christian Haupt (1 shared paper)Thomas Stamminger (1 shared paper)
- Journals
- Histochemistry and Cell Biology (3 papers)Journal of Virology (2 papers)Viruses (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Clarissa Read
20 papers receiving 220 citations
Peers
Comparison fields: 5 of 71
- Structural Biology 14
- Biophysics 22
- Parasitology 13
- Epidemiology 55
- Molecular Biology 100
Countries citing papers authored by Clarissa Read
This map shows the geographic impact of Clarissa Read's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Clarissa Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarissa Read more than expected).
Fields of papers citing papers by Clarissa Read
This network shows the impact of papers produced by Clarissa Read. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Clarissa Read. The network helps show where Clarissa Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Clarissa Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2019 | 23 | |
| 3 | 2018 | 22 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Clarissa Read
Clarissa Read is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Biophysics, having authored 26 papers that have together received 223 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (8 papers), RNA Interference and Gene Delivery (4 papers), Herpesvirus Infections and Treatments (4 papers), Calcium signaling and nucleotide metabolism (2 papers), Cell Image Analysis Techniques (2 papers), Toxoplasma gondii Research Studies (2 papers), HIV Research and Treatment (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Structural Biology (14 citations), Biophysics (22 citations), Parasitology (13 citations), Epidemiology (55 citations) and Molecular Biology (100 citations). Clarissa Read has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Paul Walther, Jens von Einem, Hans A. Kestler, Martin Schauflinger, Timo Ropinski, Marcus Fändrich, Christian Haupt, Thomas Stamminger, Lynn Radamaker and Sebastian Wiese. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Virology, Viruses, Nature Communications and Advanced Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.